Publications

2021

Wu D, Ji X, Ivanchenko M, Chung M, Piper M, Rana P, Wang S, Xue Y, West E, Zhao S, Xu H, Cicconet M, Xiong W, Cepko C. Nrf2 overexpression rescues the RPE in mouse models of retinitis pigmentosa. JCI Insight. 2021;6(2).
Nrf2, a transcription factor that regulates the response to oxidative stress, has been shown to rescue cone photoreceptors and slow vision loss in mouse models of retinal degeneration (rd). The retinal pigment epithelium (RPE) is damaged in these models, but whether it also could be rescued by Nrf2 has not been previously examined. We used an adeno-associated virus (AAV) with an RPE-specific (Best1) promoter to overexpress Nrf2 in the RPE of rd mice. Control rd mice showed disruption of the regular array of the RPE, as well as loss of RPE cells. Cones were lost in circumscribed regions within the cone photoreceptor layer. Overexpression of Nrf2 specifically in the RPE was sufficient to rescue the RPE, as well as the disruptions in the cone photoreceptor layer. Electron microscopy showed compromised apical microvilli in control rd mice but showed preserved microvilli in Best1-Nrf2-treated mice. The rd mice treated with Best1-Nrf2 had slightly better visual acuity. Transcriptome profiling showed that Nrf2 upregulates multiple oxidative defense pathways, reversing declines seen in the glutathione pathway in control rd mice. In summary, Nrf2 overexpression in the RPE preserves RPE morphology and survival in rd mice, and it is a potential therapeutic for diseases involving RPE degeneration, including age-related macular degeneration (AMD).
Choi EY, Li D, Fan Y, Pasquale L, Shen L, Boland M, Ramulu P, Yousefi S, De Moraes CG, Wellik S, Myers J, Bex P, Elze T, Wang M. Predicting Global Test-Retest Variability of Visual Fields in Glaucoma. Ophthalmol Glaucoma. 2021;4(4):390–399.
PURPOSE: To model the global test-retest variability of visual fields (VFs) in glaucoma. DESIGN: Retrospective cohort study. PARTICIPANTS: Test-retest VFs from 4044 eyes of 4044 participants. METHODS: We selected 2 reliable VFs per eye measured with the Humphrey Field Analyzer (Swedish interactive threshold algorithm 24-2) within 30 days of each other. Each VF had fixation losses (FLs) of 33% or less, false-negative results (FNRs) of 20% or less, and false-positive results (FPRs) of 20% or less. Stepwise linear regression was applied to select the model best predicting the global test-retest variability from 3 categories of features of the first VF: (1) base parameters (age, mean deviation, pattern standard deviation, glaucoma hemifield test results, FPR, FNR, and FL); (2) total deviation (TD) at each location; and (3) computationally derived archetype VF loss patterns. The global test-retest variability was defined as root mean square deviation (RMSD) of TD values at all 52 VF locations. MAIN OUTCOME MEASURES: Archetype models to predict the global test-retest variability. RESULTS: The mean ± standard deviation of the root mean square deviation was 4.39 ± 2.55 dB. Between the 2 VF tests, TD values were correlated more strongly in central than in peripheral VF locations (intraclass coefficient, 0.66-0.89; P < 0.001). Compared with the model using base parameters alone (adjusted R2 = 0.45), adding TD values improved prediction accuracy of the global variability (adjusted R2 = 0.53; P < 0.001; Bayesian information criterion [BIC] decrease of 527; change of >6 represents strong improvement). Lower TD sensitivity in the outermost peripheral VF locations was predictive of higher global variability. Adding archetypes to the base model improved model performance with an adjusted R2 of 0.53 (P < 0.001) and lowering of BIC by 583. Greater variability was associated with concentric peripheral defect, temporal hemianopia, inferotemporal defect, near total loss, superior peripheral defect, and central scotoma (listed in order of decreasing statistical significance), and less normal VF results and superior paracentral defect. CONCLUSIONS: Inclusion of archetype VF loss patterns and TD values based on first VF improved the prediction of the global test-retest variability than using traditional global VF indices alone.
Freedman S, Beck A, Nizam A, VanderVeen D, Plager D, Morrison D, Drews-Botsch C, Lambert S, Infant Aphakia Treatment Study Group. Glaucoma-Related Adverse Events at 10 Years in the Infant Aphakia Treatment Study: A Secondary Analysis of a Randomized Clinical Trial. JAMA Ophthalmol. 2021;139(2):165–173.
Importance: Glaucoma-related adverse events constitute serious complications of cataract removal in infancy, yet long-term data on incidence and visual outcome remain lacking. Objective: To identify and characterize incident cases of glaucoma and glaucoma-related adverse events (glaucoma + glaucoma suspect) among children in the Infant Aphakia Treatment Study (IATS) by the age of 10.5 years and to determine whether these diagnoses are associated with optic nerve head (ONH) and peripapillary retinal nerve fiber layer (RNFL) assessment. Design, Setting, and Participants: Analysis of a multicenter randomized clinical trial of 114 infants with unilateral congenital cataract who were aged 1 to 6 months at surgery. Data on long-term glaucoma-related status and outcomes were collected when children were 10.5 years old (July 14, 2015, to July 12, 2019) and analyzed from March 30, 2019, to August 6, 2019. Interventions: Participants were randomized at cataract surgery to either primary intraocular lens (IOL), or aphakia (contact lens [CL]). Standardized definitions of glaucoma and glaucoma suspect were created for IATS and applied for surveillance and diagnosis. Main Outcomes and Measures: Development of glaucoma and glaucoma + glaucoma suspect in operated-on eyes up to age 10.5 years, plus intraocular pressure, axial length, RNFL (by optical coherence tomography), and ONH photographs. Results: In Kaplan-Meier analysis, for all study eyes combined (n = 114), risk of glaucoma after cataract removal rose from 9% (95% CI, 5%-16%) at 1 year, to 17% (95% CI, 11%-25%) at 5 years, to 22% (95% CI, 16%-31%) at 10 years. The risk of glaucoma plus  glaucoma suspect diagnosis after cataract removal rose from 12% (95% CI, 7%-20%) at 1 year, to 31% (95% CI, 24%-41%) at 5 years, to 40% (95% CI, 32%-50%) at 10 years. Risk of glaucoma and glaucoma plus glaucoma suspect diagnosis at 10 years was not significantly different between treatment groups. Eyes with glaucoma (compared with eyes with glaucoma suspect or neither) had longer axial length but relatively preserved RNFL and similar ONH appearance and visual acuity at age 10 years. Conclusions and Relevance: Risk of glaucoma-related adverse events continues to increase with longer follow-up of children following unilateral cataract removal in infancy and is not associated with primary IOL implantation. Development of glaucoma (or glaucoma suspect) after removal of unilateral congenital cataract was not associated with worse visual acuity outcomes at 10 years. Trial Registration: ClinicalTrials.gov Identifier: NCT00212134.
Keilty M, Houston K, Collins C, Trehan R, Chen YT, Merabet L, Watts A, Pundlik S, Luo G. Inpatient Virtual Vision Clinic Improves Access to Vision Rehabilitation Before and During the COVID-19 Pandemic. Arch Rehabil Res Clin Transl. 2021;3(1):100100.
Objective: To describe and evaluate a secure video call system combined with a suite of iPad vision testing apps to improve access to vision rehabilitation assessment for inpatients. Design: Retrospective. Setting: Two acute care inpatient rehabilitation hospitals and 1 long-term acute care (LTAC) hospital. Participants: Records of inpatients seen by the vision service. Interventions: Records from a 1-year telemedicine pilot performed at acute rehabilitation (AR) hospital 1 and then expanded to AR hospital 2 and LTAC hospital during coronavirus disease 2019 (COVID-19) were reviewed. In the virtual visits, an occupational therapist measured the patients' vision with the iPad applications and forwarded results to the off-site Doctor of Optometry (OD) for review prior to a video visit. The OD provided diagnosis and education, press-on prism application supervision, strategies and modifications, and follow-up recommendations. Providers completed the telehealth usability questionnaire (10-point scale). Main Outcome Measures: Vision examinations per month at AR hospital 1 before and with telemedicine. Results: With telemedicine at AR hospital 1, mean visits per month significantly increased from 10.7±5 to 14.9±5 (=.002). Prism was trialed in 40% of cases of which 83% were successful, similar to previously reported in-person success rates. COVID-19 caused only a marginal decrease in visits per month (=.08) at AR1, whereas the site without an established program (AR hospital 2) had a 3-4 week gap in care while the program was initiated. Cases at the LTAC hospital tended to be more complex and difficult to manage virtually. The telehealth usability questionnaire median category scores were 7 for , 8 for , 6 for , and 9 for . Conclusions: The virtual vision clinic process improved inpatient access to eye and visual neurorehabilitation assessment before and during the COVID-19 quarantine and was well accepted by providers and patients.
Kim J, Aschard H, Kang J, Lentjes MA, Do R, Wiggs J, Khawaja A, Pasquale L, Collaboration MRFG. Intraocular Pressure, Glaucoma, and Dietary Caffeine Consumption: A Gene-Diet Interaction Study from the UK Biobank. Ophthalmology. 2021;128(6):866–876.
PURPOSE: We examined the association of habitual caffeine intake with intraocular pressure (IOP) and glaucoma and whether genetic predisposition to higher IOP modified these associations. We also assessed whether genetic predisposition to higher coffee consumption was related to IOP. DESIGN: Cross-sectional study in the UK Biobank. PARTICIPANTS: We included 121 374 participants (baseline ages, 39-73 years) with data on coffee and tea intake (collected 2006-2010) and corneal-compensated IOP measurements in 2009. In a subset of 77 906 participants with up to 5 web-based 24-hour-recall food frequency questionnaires (2009-2012), we evaluated total caffeine intake. We also assessed the same relationships with glaucoma (9286 cases and 189 763 controls). METHODS: We evaluated multivariable-adjusted associations with IOP using linear regression and with glaucoma using logistic regression. For both outcomes, we examined gene-diet interactions using a polygenic risk score (PRS) that combined the effects of 111 genetic variants associated with IOP. We also performed Mendelian randomization using 8 genetic variants associated with coffee intake to assess potential causal effects of coffee consumption on IOP. MAIN OUTCOME MEASURES: Intraocular pressure and glaucoma. RESULTS: Mendelian randomization analysis did not support a causal effect of coffee drinking on IOP (P > 0.1). Greater caffeine intake was associated weakly with lower IOP: the highest (≥232 mg/day) versus lowest (<87 mg/day) caffeine consumption was associated with a 0.10-mmHg lower IOP (Ptrend = 0.01). However, the IOP PRS modified this association: among those in the highest IOP PRS quartile, consuming > 480 mg/day versus < 80 mg/day was associated with a 0.35-mmHg higher IOP (Pinteraction = 0.01). The relationship between caffeine intake and glaucoma was null (P ≥ 0.1). However, the IOP PRS also modified this relationship: compared with those in the lowest IOP PRS quartile consuming no caffeine, those in the highest IOP PRS quartile consuming ≥ 321 mg/day showed a 3.90-fold higher glaucoma prevalence (Pinteraction = 0.0003). CONCLUSIONS: Habitual caffeine consumption was associated weakly with lower IOP, and the association between caffeine consumption and glaucoma was null. However, among participants with the strongest genetic predisposition to elevated IOP, greater caffeine consumption was associated with higher IOP and higher glaucoma prevalence.
Dixit A, Yohannan J, Boland M. Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data. Ophthalmology. 2021;128(7):1016–1026.
PURPOSE: Rule-based approaches to determining glaucoma progression from visual fields (VFs) alone are discordant and have tradeoffs. To detect better when glaucoma progression is occurring, we used a longitudinal data set of merged VF and clinical data to assess the performance of a convolutional long short-term memory (LSTM) neural network. DESIGN: Retrospective analysis of longitudinal clinical and VF data. PARTICIPANTS: From 2 initial datasets of 672 123 VF results from 213 254 eyes and 350 437 samples of clinical data, persons at the intersection of both datasets with 4 or more VF results and corresponding baseline clinical data (cup-to-disc ratio, central corneal thickness, and intraocular pressure) were included. After exclusion criteria-specifically the removal of VFs with high false-positive and false-negative rates and entries with missing data-were applied to ensure reliable data, 11 242 eyes remained. METHODS: Three commonly used glaucoma progression algorithms (VF index slope, mean deviation slope, and pointwise linear regression) were used to define eyes as stable or progressing. Two machine learning models, one exclusively trained on VF data and another trained on both VF and clinical data, were tested. MAIN OUTCOME MEASURES: Area under the receiver operating characteristic curve (AUC) and area under the precision-recall curve (AUPRC) calculated on a held-out test set and mean accuracies from threefold cross-validation were used to compare the performance of the machine learning models. RESULTS: The convolutional LSTM network demonstrated 91% to 93% accuracy with respect to the different conventional glaucoma progression algorithms given 4 consecutive VF results for each participant. The model that was trained on both VF and clinical data (AUC, 0.89-0.93) showed better diagnostic ability than a model exclusively trained on VF results (AUC, 0.79-0.82; P < 0.001). CONCLUSIONS: A convolutional LSTM architecture can capture local and global trends in VFs over time. It is well suited to assessing glaucoma progression because of its ability to extract spatiotemporal features that other algorithms cannot. Supplementing VF results with clinical data improves the model's ability to assess glaucoma progression and better reflects the way clinicians manage data when managing glaucoma.
Sokol J, Schechet S, Komati R, Eliott D, Vavvas D, Kaplan R, Ittiara S, Farooq A, Sheth V, MacCumber M, Ke R, Gentile R, Skondra D. Macular Hole Closure with Medical Treatment. Ophthalmol Retina. 2021;5(7):711–713.
Gonzalez-Buendia L, Delgado-Tirado S, An M, O’Hare M, Amarnani D, Whitmore H, Zhao G, Ruiz-Moreno J, Arboleda-Velasquez J, Kim L. Treatment of Experimental Choroidal Neovascularization via RUNX1 Inhibition. Am J Pathol. 2021;191(3):418–424.
Choroidal neovascularization (CNV) is a prevalent cause of vision loss in patients with age-related macular degeneration. Runt-related transcription factor 1 (RUNX1) has been identified as an important mediator of aberrant retinal angiogenesis in proliferative diabetic retinopathy and its modulation has proven to be effective in curbing pathologic angiogenesis in experimental oxygen-induced retinopathy. However, its role in CNV remains to be elucidated. This study demonstrates RUNX1 expression in critical cell types involved in a laser-induced model of CNV in mice. Furthermore, the preclinical efficacy of Ro5-3335, a small molecule inhibitor of RUNX1, in experimental CNV is reported. RUNX1 inhibitor Ro5-3335, aflibercept-an FDA-approved vascular endothelial growth factor (VEGF) inhibitor, or a combination of both, were administered by intravitreal injection immediately after laser injury. The CNV area of choroidal flatmounts was evaluated by immunostaining with isolectin B4, and vascular permeability was analyzed by fluorescein angiography. A single intravitreal injection of Ro5-3335 significantly decreased the CNV area 7 days after laser injury, and when combined with aflibercept, reduced vascular leakage more effectively than aflibercept alone. These data suggest that RUNX1 inhibition alone or in combination with anti-VEGF drugs may be a new therapy upon further clinical validation for patients with neovascular age-related macular degeneration.